Literature DB >> 26977739

RemLogic plug-in enables clinical application of apnea-hypopnea index adjusted for severity of individual obstruction events.

Timo Leppänen1,2,3, Mikko Särkkä1,4, Antti Kulkas2,3, Anu Muraja-Murro1,5, Salla Kupari1,5, Meri Anttonen1, Pekka Tiihonen1, Esa Mervaala1,5, Juha Töyräs1,3.   

Abstract

Obstructive sleep apnea (OSA) is diagnosed based on obstruction event incidence, albeit individual obstruction event severity is connected to increased mortality rate. Adjusted-AHI parameter, incorporating number and severity of obstruction events, has shown good potential, but is calculated using custom-made MATLAB(®) functions. To allow its clinical use, this study introduces the RemLogic™ plug-in. It is tested comparing adjusted-AHI values calculated with the plug-in and MATLAB(®) with a hundred patients. Furthermore, retrospective follow-up (mean ± SD = 194.1 ± 54.0 months) of 1128 working-age men was conducted to evaluate potential of adjusted-AHI to enhance diagnostic of OSA. Adjusted-AHI values were strongly correlated (r = 1.000, p < 0.001) and their average difference (mean ± SD) was minimal (0.08 ± 0.19%). Using adjusted-AHI to define OSA severity resulted in a higher hazard ratio of mortality in the severe OSA group and, for the first time, adjusted-AHI was found to explain independently the overall mortality and non-fatal cardiovascular events. Importantly, the present plug-in enables clinical use of adjusted-AHI, enhancing assessment of OSA severity.

Entities:  

Keywords:  AHI; Obstructive sleep apnea; adjusted-AHI; morbidity; mortality

Mesh:

Year:  2016        PMID: 26977739     DOI: 10.3109/03091902.2016.1148791

Source DB:  PubMed          Journal:  J Med Eng Technol        ISSN: 0309-1902


  5 in total

1.  Severity of Desaturations Reflects OSA-Related Daytime Sleepiness Better Than AHI.

Authors:  Samu Kainulainen; Juha Töyräs; Arie Oksenberg; Henri Korkalainen; Sandra Sefa; Antti Kulkas; Timo Leppänen
Journal:  J Clin Sleep Med       Date:  2019-08-15       Impact factor: 4.062

2.  Severity of individual obstruction events is gender dependent in sleep apnea.

Authors:  Timo Leppänen; Antti Kulkas; Brett Duce; Esa Mervaala; Juha Töyräs
Journal:  Sleep Breath       Date:  2016-12-13       Impact factor: 2.816

3.  Severe desaturations increase psychomotor vigilance task-based median reaction time and number of lapses in obstructive sleep apnoea patients.

Authors:  Samu Kainulainen; Brett Duce; Henri Korkalainen; Arie Oksenberg; Akseli Leino; Erna S Arnardottir; Antti Kulkas; Sami Myllymaa; Juha Töyräs; Timo Leppänen
Journal:  Eur Respir J       Date:  2020-04-09       Impact factor: 16.671

4.  Polysomnographic characteristics of severe obstructive sleep apnea vary significantly between hypertensive and normotensive patients of both genders.

Authors:  T Leppänen; A Kulkas; J Töyräs; S Myllymaa; N Gadoth; A Oksenberg
Journal:  Sleep Breath       Date:  2020-04-05       Impact factor: 2.816

5.  Bayesian Network Model to Evaluate the Effectiveness of Continuous Positive Airway Pressure Treatment of Sleep Apnea.

Authors:  Olli-Pekka Ryynänen; Timo Leppänen; Pekka Kekolahti; Esa Mervaala; Juha Töyräs
Journal:  Healthc Inform Res       Date:  2018-10-31
  5 in total

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